Shaohui Wang

403 citations
20 papers · 277 · h-index 10

Impact in

Papers in

Shaohui Wang

19 papers receiving 270 citations

Peers

Shaohui Wang
Comparison fields: 5 of 89
  • Geometry and Topology 91
  • Computational Theory and Mathematics 122
  • Biophysics 20
  • Organic Chemistry 66
  • Discrete Mathematics and Combinatorics 7
Replace Hailing Liu with:
Hailing Liu China
Yongnam Lee South Korea
Sían Howells United Kingdom
Gholam Hassan Shirdel Iran
Shujuan Cao China
Huiqin Jiang China
Yuji Kobayashi Japan
Haiying Shan China
Kedi Wu China
Shaohui Wang relative to Hailing Liu China Hailing Liu's profile →
Citations per field
00.5×10×15×18.2×
Hailing Liu · 1×
Citations per year

Countries citing papers authored by Shaohui Wang

Since Specialization
Citations

This map shows the geographic impact of Shaohui Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shaohui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohui Wang more than expected).

Fields of papers citing papers by Shaohui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaohui Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shaohui Wang. The network helps show where Shaohui Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Shaohui Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaohui Wang Line = papers co-authored together Shaohui Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201856
2 201255
3 201629
4 201728
5 201720
6 201716
7 201816
8 201711
9 200811
10 20189
11 20177
12 20184
13 20073
14 20223
15
Scalable RFID Mutual Authentication Protocol with Backward Privacy
20133
16
High-Level Model Extraction via Symbolic Execution
20122
17 20112
18 20071
19 20091
20 20140

About Shaohui Wang

Shaohui Wang is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Artificial Intelligence, Organic Chemistry and Computer Networks and Communications, having authored 20 papers that have together received 277 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Graph theory and applications (4 papers), Cryptography and Data Security (3 papers), Synthesis and Properties of Aromatic Compounds (2 papers), Advanced Authentication Protocols Security (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Geometric and Algebraic Topology (2 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Geometry and Topology (91 citations), Computational Theory and Mathematics (122 citations), Biophysics (20 citations), Organic Chemistry (66 citations) and Discrete Mathematics and Combinatorics (7 citations). Shaohui Wang has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Jia‐Bao Liu, Sakander Hayat, Chunxiang Wang, Gang Li, Guoyan Zhang, Ling Lin, Yanli Wang, Haixia Yu, Gang Chen and Bryan L. Roth. Their work appears in journals such as Discrete Applied Mathematics, Journal of Medicinal Chemistry, Hypertension, Review of Scientific Instruments and Journal of Mathematical Analysis and Applications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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